In: Statistics and Probability
Q1. Write down the equation of the regression straight line (the least-squares line)
Q2. For an increase of 1 mg of fertiliser applied, what is the average change in the wet weight of maize plants?
Q3. How are the two variables associated with each other? (Answer in 1 or 2 sentences)
Q4. Determine the average weight of plants grown with 100mg of fertiliser applied. (round up your answer to 2 decimal places)
Q5. Determine the average weight of plants grown with 500mg of fertiliser applied. (round up your answer to 2 decimal places)
Fertiliser weight in mg |
90 |
160 |
290 |
0 |
30 |
60 |
0 |
200 |
0 |
0 |
70 |
140 |
160 |
460 |
330 |
0 |
60 |
70 |
350 |
250 |
510 |
510 |
0 |
0 |
40 |
100 |
110 |
280 |
280 |
0 |
0 |
20 |
40 |
130 |
150 |
280 |
340 |
0 |
0 |
190 |
40 |
190 |
90 |
210 |
270 |
0 |
0 |
20 |
60 |
180 |
210 |
400 |
300 |
0 |
0 |
20 |
70 |
140 |
160 |
240 |
Plant weight in g |
5.92 |
9.53 |
16.05 |
7.14 |
1.64 |
11.43 |
6.73 |
11.36 |
7.64 |
9.57 |
10.44 |
12.99 |
30.44 |
11.92 |
15.58 |
7.12 |
14.47 |
10.54 |
16.05 |
23.72 |
14.33 |
22.87 |
3.86 |
4.45 |
5.43 |
8.68 |
6.28 |
9.07 |
17.69 |
6.67 |
5.47 |
7.00 |
8.43 |
17.20 |
10.21 |
13.24 |
4.31 |
5.14 |
5.23 |
6.77 |
7.26 |
8.32 |
7.95 |
9.70 |
13.94 |
8.66 |
5.46 |
9.87 |
3.68 |
17.42 |
21.80 |
13.31 |
6.76 |
7.72 |
5.39 |
12.36 |
11.31 |
5.54 |
5.48 |
14.38 |
Q1. Write down the equation of the regression straight line (the
least-squares line)
Step 1 - Put the data in excel as shown and arrange the variables as shown
Step 2 - Select the regression option from the data analysis tab
Step 3- Input the values as shown below.
Step 4 - The output is generated as follows.
The regression equation ( This equation is obtained from the coefficient of the regression output. Highlighted in green)
Plant weight in g (y) = 7.4019 + 0.02106 Fertiliser weight in
mg(x)
Q2. For an increase of 1 mg of fertiliser applied, what is the average change in the wet weight of maize plants?
The average change in the weight of maize plants is 0.02106
Q3. How are the two variables associated with each other? (Answer in 1 or 2 sentences)
Association between the two variables is signficantly. We look at the pvalue of the Ftest and find that it less than 0.05, hence we conclude that the model is signficant.
Q4. Determine the average weight of plants grown with
100mg of fertiliser applied. (round up your answer to 2 decimal
places)
Plant weight in g (y) = 7.4019 + 0.02106 Fertiliser weight in
mg(x)
Plant weight in g (y) = 7.4019 + 0.02106 (100)=9.5079
Q5. Determine the average weight of plants grown with 500mg
of fertiliser applied. (round up your answer to 2 decimal
places)
Plant weight in g (y) = 7.4019 + 0.02106 Fertiliser weight in
mg(x)
Plant weight in g (y) = 7.4019 + 0.02106 (500) = 17.9319